Ion-Maze – Interactive Grover Oracle Pulse-Mapping Tool#10
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learningdungeon wants to merge 3 commits intoOpenQuantumDesign:mainfrom
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Ion-Maze – Interactive Grover Oracle Pulse-Mapping Tool#10learningdungeon wants to merge 3 commits intoOpenQuantumDesign:mainfrom
learningdungeon wants to merge 3 commits intoOpenQuantumDesign:mainfrom
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@learningdungeon Thanks for the submission! I've already accepted another PR for the unitaryDESIGN bounty, but will dig into this submission more to understand features it adds - it looks very interesting! I'd still be happy to merge it into the oqd-teaching-demo repo as another interactive UI for the hardware demo, if you're still interested. Thanks for participating in the hackathon!
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Hi
Congratulations bounty winner!
Yes sure I'm interested and you can add this interactive game of grover, I
developed it for UF
Note: It's an open source
All the very best for future endeavors
Regards
Noor
…On Sat, 28 Feb 2026, 3:42 am Benjamin MacLellan, ***@***.***> wrote:
***@***.**** commented on this pull request.
@learningdungeon <https://github.com/learningdungeon> Thanks for the
submission! I've already accepted another PR for the unitaryDESIGN bounty,
but will dig into this submission more to understand features it adds - it
looks very interesting! I'd still be happy to merge it into the
oqd-teaching-demo repo as another interactive UI for the hardware demo,
if you're still interested. Thanks for participating in the hackathon!
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Hi OQD Team,
This is my submission for Bounty 1. As a Qiskit Advocate, I have developed the Ion-Maze, an interactive application that bridges the gap between abstract gate logic and physical trapped-ion control pulses.
The Concept:
Instead of a "black-box" execution, users act as pulse engineers. They must manually construct a Grover Oracle by applying "X-gate sandwiches" to mark target states. This teaches the fundamental "grammar" of quantum algorithms through the lens of hardware actuation.
Hardware Integration:
I have mapped the game logic directly to the OQD hardware interfaces:
Lasers: Every digital X-gate triggered in the UI pulses the corresponding physical red diode laser via device lasers set intensity.
Trap: The Calibration phase utilizes the trap position controls to simulate physical ion alignment.
Camera: The final results represent a processed readout from the overhead camera measurement system.
Technical Stack:
Engine: Powered by Qiskit Aer (supporting 2-6 ions).
UI: Built with GUI, styled to integrate seamlessly with the existing OQD demo interface.
Logic: Implements a "Smart Threshold" success check based on theoretical quantum probability limits.
Files Added:
src/oqd_teaching_demo/gui/ion_maze_gui.py (The game interface)
src/oqd_teaching_demo/control/grover_engine.py (The Qiskit-powered logic)
I look forward to your feedback and am excited to see how this can support OQD’s global outreach efforts!
Best regards,
Noor Ul Ain Faisal
IBM Qiskit Advocate | QuLearnLabs Alumni - Quantum Software Engineer | MIT iQHACK ‘26 Selectee